code: def test_standard_classification_datasets_default(dataset):
      X, y = dataset
      assert X.ndim == 2
      assert X.shape[0] <= 200
      assert X.shape[1] <= 200
      assert (y.ndim == 0) or (y.ndim in (1, 2) and y.shape[0] <= 200)
      assert np.issubdtype(X.dtype, np.floating)
      assert np.issubdtype(y.dtype, np.integer)
  
file_path: cuml/python/cuml/tests/test_strategies.py
imports: from cuml.internals.array import CumlArray
  from cuml.internals.safe_imports import cpu_only_import, gpu_only_import
  from cuml.testing.strategies import create_cuml_array_input, cuml_array_dtypes, cuml_array_input_types, cuml_array_inputs, cuml_array_orders, cuml_array_shapes, regression_datasets, split_datasets, standard_classification_datasets, standard_datasets, standard_regression_datasets
  from cuml.testing.utils import normalized_shape, series_squeezed_shape
  from hypothesis import HealthCheck, given, settings
  from hypothesis import strategies
  from hypothesis.extra.numpy import floating_dtypes, integer_dtypes
label_desc: Use image node_id 10 for calling a global function with example usage: test_standard_classification_datasets_default(dataset) without return types